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Volumn 12, Issue 3, 1993, Pages 566-574

Quantification of MR Brain Images by Mixture Density and Partial Volume Modeling

Author keywords

[No Author keywords available]

Indexed keywords

MAGNETIC RESONANCE IMAGING; MATHEMATICAL MODELS; MATHEMATICAL TECHNIQUES; NEUROLOGY; PARAMETER ESTIMATION; STATISTICAL METHODS;

EID: 0027659237     PISSN: 02780062     EISSN: 1558254X     Source Type: Journal    
DOI: 10.1109/42.241885     Document Type: Article
Times cited : (130)

References (19)
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    • C. R. Jack, “Brain and cerebrospinal fluid volume: Measurement with MR imaging,” Radiology, vol. 178, pp. 22-24, 1991
    • (1991) Radiology. , vol.178 , pp. 22-24
    • Jack, C.R.1
  • 2
    • 0026220222 scopus 로고
    • Partial volume tissue classification of multichannel magnetic resonance images—A mixel model
    • Sept.
    • H. S. Choi, D. R. Haynor, and Y. Kim. “Partial volume tissue classification of multichannel magnetic resonance images—A mixel model.” IEEE Transactions on Medical Imaging, vol. 10, pp. 395-407, Sept. 1991.
    • (1991) IEEE Transactions on Medical Imaging , vol.10 , pp. 395-407
    • Choi, H.S.1    Haynor, D.R.2    Kim, Y.3
  • 3
    • 84911600805 scopus 로고
    • Institute for Communication Technology, BIWI-TR-124, Image Science Division, ETH-Zentrum, Zurich, Switzerland, June
    • G. Gerig, O. Kuebler, R. Kikinis, and F. A. Jolesz, “Nonlinear anisotropic filtering of MRI data,” Institute for Communication Technology, BIWI-TR-124, Image Science Division, ETH-Zentrum, Zurich, Switzerland, June 1991
    • (1991) Nonlinear anisotropic filtering of MRI data
    • Gerig, G.1    Kuebler, O.2    Kikinis, R.3    Jolesz, F.A.4
  • 7
    • 0025000563 scopus 로고
    • Three-dimensional segmentation of MR images of the head using probability and connectivity
    • H. E. Cline, W. E. Lorensen, R. Kikinis, and R. Jolesz, “Three-dimensional segmentation of MR images of the head using probability and connectivity,” J. Comp. Assisted Tomography, vol. 14, pp. 1037-1045, 1990.
    • (1990) J. Comp. Assisted Tomography. , vol.14 , pp. 1037-1045
    • Cline, H.E.1    Lorensen, W.E.2    Kikinis, R.3    Jolesz, R.4
  • 9
    • 0020781664 scopus 로고
    • Application of the conditional population-mixture model to image segmentation
    • July
    • Stanley L. Sclove, “Application of the conditional population-mixture model to image segmentation,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 5, July, 1983
    • (1983) IEEE Trans. Pattern Analysis and Machine Intelligence. , vol.5
    • Sclove, S.L.1
  • 12
    • 0026836262 scopus 로고
    • Statistical approach to x-ray CT imaging and its applications in image analysis—Part II: A new stochastic model-based image segmentation technique for x-ray CT image
    • Mar.
    • T. Lei and W. Sewchand, “Statistical approach to x-ray CT imaging and its applications in image analysis—Part II: A new stochastic model-based image segmentation technique for x-ray CT image,” IEEE Trans. Medical Imaging, vol. 11, pp. 62-69, Mar. 1992.
    • (1992) IEEE Trans. Medical Imaging. , vol.11 , pp. 62-69
    • Lei, T.1    Sewchand, W.2
  • 15
    • 0002629270 scopus 로고
    • Maximum likelihood from incomplete data via EM algorithm
    • A. P. Dempster, N. M. Laird, and D. B. Rubin, “Maximum likelihood from incomplete data via EM algorithm,” J. R. Stat. Soc, vol. 39, pp. 1-38, 1977.
    • (1977) J. R. Stat. Soc. , vol.39 , pp. 1-38
    • Dempster, A.P.1    Laird, N.M.2    Rubin, D.B.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.